Intelligent traffic signal control method

A traffic signal and control method technology, applied in traffic control systems, control traffic signals, traffic control systems for road vehicles, etc., can solve problems such as difficult migration, and achieve strong portability, strong adaptability, and strong dynamics Effect

Pending Publication Date: 2021-10-08
NANJING YUNCHUANG LARGE DATA TECH CO LTD
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Problems solved by technology

However, the establishment of an adaptive control system requires the calibration of many environmental

Method used

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  • Intelligent traffic signal control method

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Embodiment Construction

[0044] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] see figure 1 , a kind of intelligent traffic signal control method of the present invention, comprises:

[0046] Step 1. Obtain the traffic flow operation data of the road network and evaluate the current traffic congestion value;

[0047] Step 2, construct and train the traffic signal control model;

[0048] Step 3. Use the trained traffic signal control model to judge the state of the road network and obtain the optimal traffic signal control strategy that can reduce road network traffic congestion.

[0049] In the embodiment, the road network traffic flow operation data described in step 1 includes road network traffic flow operation status data S and signal light working status data;

[0050] The road network vehicle flow operation status data S includes the overall traffic operation status data of the road network, the traffic oper...

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Abstract

The invention discloses an intelligent traffic signal control method. The method comprises the steps of obtaining road network traffic flow operation data and evaluating a current traffic jam value; constructing and training a traffic signal control model; and using the trained traffic signal control model to determine the road network state and obtain an optimal traffic signal control strategy capable of reducing road network traffic congestion. According to the method, traffic road network state data is processed through the convolutional neural network, the space-time dependence characteristics of traffic flow are effectively extracted, and meanwhile, the problem of huge signal phase combination space is solved in a value function iterative approximation mode by adopting an Actor-Critic reinforcement learning method, so that an intelligent traffic signal control model is established. The model is high in portability and can be suitable for various types of road traffic conditions.

Description

technical field [0001] The invention belongs to the technical field of traffic signal control, and in particular relates to an intelligent traffic signal control method. Background technique [0002] In the 1960s, many scholars proposed different methods to control the traffic signal phase. The fixed-time control method, which uses historical data to determine the optimal traffic signal period and phase, is one of the earliest traffic signal control methods. In 1958, Webster proposed a method to find the best signal cycle and green signal ratio by comparing the flow rate of each lane at the intersection to determine the key traffic flow direction. However, the fixed timing method is a phase control scheme based on historical traffic flow data, so it does not have the function of predicting traffic demand, so it is difficult to adapt to changes in real-time traffic conditions. However, because of its simple calculation and convenient operation, it is still widely used in ma...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/08G06N3/08
CPCG08G1/08G08G1/0125G08G1/0137G06N3/08
Inventor 刘鹏张真曹旭东曹骝时晨皓
Owner NANJING YUNCHUANG LARGE DATA TECH CO LTD
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